AI Assistant Quick Start
The AWSops AI Assistant is powered by Amazon Bedrock AgentCore, allowing you to ask questions and request analysis about your AWS infrastructure using natural language.
Getting Started
1. Access the AI Assistant Page
Click AI Assistant in the sidebar.
2. Enter Your Question
Type your question in the input field at the bottom of the screen and press Enter or click the send button.
3. View the Response
The AI analyzes your question, routes it to the appropriate Gateway, and generates a response using available tools.
Example Questions
Resource Status Queries
Show me the EC2 instance status
How many S3 buckets do we have?
List the Lambda functions
Network Analysis
Analyze the VPC network configuration
Check if any security groups have 0.0.0.0/0 inbound rules
Security Checks
Check for security issues
Are there any IAM users without MFA enabled?
Cost Analysis
Show me this month's cost breakdown
Compare costs by service
Container Status
What's the EKS cluster status?
Check the ECS service status
11-Route Classification
The AI Assistant analyzes questions and automatically routes them to the most appropriate of 11 specialized routes.
| Priority | Route | Purpose |
|---|---|---|
| 1 | code | Python code execution, calculations, visualization |
| 2 | network | VPC, TGW, VPN, Flow Logs analysis |
| 3 | container | EKS, ECS, Istio troubleshooting |
| 4 | iac | CDK, CloudFormation, Terraform |
| 5 | data | DynamoDB, RDS, ElastiCache, MSK |
| 6 | security | IAM, policy simulation, security summary |
| 7 | monitoring | CloudWatch, CloudTrail |
| 8 | cost | Cost analysis, forecasting, budgets |
| 9 | datasource | External observability — Prometheus/Loki/Tempo/ClickHouse/Jaeger/Dynatrace/Datadog (natural language → query) |
| 10 | aws-data | Resource lists/status (Steampipe SQL) |
| 11 | general | General AWS questions, documentation search |
You can see which Gateway was used in the route information displayed at the bottom of each response.
Example: Network Gateway (17 tools), Bedrock + Steampipe SQL
Understanding Responses
Response Structure
┌────────────────────────────────────────────────────────┐
│ [AI Icon] │
│ │
│ Response content (Markdown format) │
│ - Supports tables, lists, code blocks │
│ │
├────────────────────────────────────────────────────────┤
│ Network Gateway (17 tools) │ Claude sonnet-4.6 │ 3.2s │
├────────────────────────────────────────────────────────┤
│ Tools: list_vpcs, get_vpc_network_details, ... │
│ Queried: aws_vpc, aws_vpc_subnet │
└────────────────────────────────────────────────────────┘
Displayed Information
- Route Path: Which Gateway processed the request
- Model: The Claude model used (Sonnet/Opus)
- Response Time: Time taken to process
- Tools Used: List of MCP tools called
- Queried Resources: Tables queried from Steampipe
Real-time Streaming
Responses are streamed in real-time and displayed progressively on screen. The optimal streaming mode is automatically selected based on the response path:
- Single Gateway response: Displayed naturally with a typing effect
- Multi-route synthesis: Real-time streaming of synthesis results via Bedrock Converse API
- Data queries (aws-data): Bedrock native token streaming
Model Selection
Select a model from the dropdown in the upper right corner:
- Claude Sonnet 4.6: Fast responses, suitable for general questions (default)
- Claude Opus 4.8: Complex analysis, suitable for deep reasoning
- Claude Haiku 4.5: Fast and low-cost, suitable for simple questions / high volume
Related Questions
After each response, related follow-up questions appear as buttons. Click one to automatically input that question.
Example:
[Show IAM user list with Access Key status]
[Check if any users don't have MFA enabled]
[Check for security groups with 0.0.0.0/0 inbound]
Conversation History
Session History
The current session's conversation is maintained on screen. You can ask follow-up questions that reference previous conversations.
Saved History
Expand the Conversation History panel at the bottom of the screen to view and re-ask questions from previous sessions.
Next Steps
- AI Assistant Details - 11-route classification details and advanced features
- AgentCore Details - AgentCore architecture and tool list